我试图了解以下内容的输出librosa.feature.melspectrogram:
>>> import numpy as np
>>> from librosa.feature import melspectrogram
>>>
>>>
>>> melspectrogram(np.random.randn(128), n_mels=128).shape
(128, 1)
>>> melspectrogram(np.random.randn(900), n_mels=128).shape
(128, 2)
>>> melspectrogram(np.random.randn(500), n_mels=128).shape
(128, 1)
>>> melspectrogram(np.random.randn(512), n_mels=128).shape
(128, 2)
>>> melspectrogram(np.random.randn(511), n_mels=128).shape
(128, 1)
>>> melspectrogram(np.random.randn(1023), n_mels=128).shape
(128, 2)
>>> melspectrogram(np.random.randn(1024), n_mels=128).shape
(128, 3)
>>> melspectrogram(np.random.randn(2055), n_mels=128).shape
(128, 5)
>>> melspectrogram(np.random.randn(2047), n_mels=128).shape
(128, 4)
什么决定了它形状的第二个值?第一个很清楚,它是n_mels,但是从文档中我无法理解第二个来自哪里。
宝慕林4294392
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